Centro de Documentacion de Fundación MAPFRE - Individual cancer mortality prediction

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<title>Individual cancer mortality prediction</title>
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<name type="personal" usage="primary" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20170015475">
<namePart>Shang, Kailan</namePart>
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<namePart>Área de Seguro y Previsión Social</namePart>
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<dateIssued encoding="marc">2017</dateIssued>
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<publisher>Fundación MAPFRE, Insurance and Social Protection Area</publisher>
<dateIssued>D.L. 2017</dateIssued>
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<abstract displayLabel="Summary">To improve cancer patients and survivors¿ access to life insurance, it is  necessary to evaluate the mortality risk of a cancer patient on an individual basis. Mortality and survivorship prediction based on data can be used to supplement doctor opinion. Detailed information such as  age, gender, race, age at diagnosis, cancer type, tumor size, histological information, and received treatment can be used to assess the risk of the patient or survivor. Predictive models can be calibrated to  either experience data or doctors¿ estimate, with adjustments for future changes such as medical development.With more accurate underwriting and pricing for individual patients, it could lead to a higher acceptance rate of insurance applications from cancer patients and lower premium rates for applicants with low risk. This report explores cancer mortality term structure and its volatility using diagnostic, medical treatment and demographic information</abstract>
<note type="statement of responsibility">Kailan Shang</note>
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<topic>Modelos predictivos</topic>
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<topic>Seguro de vida</topic>
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<topic>Evaluación de riesgos</topic>
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<topic>Enfermedades</topic>
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<topic>Cáncer</topic>
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<topic>Mortalidad</topic>
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<topic>Análisis predictivos</topic>
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<title>Cuadernos de la Fundación</title>
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<identifier type="isbn">978-84-9844-665-4</identifier>
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